3 дня назад
Software Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (AI): Building agentic, customer-facing products and the DataOps and analytics platform that powers them with an accent on TypeScript, Python, cloud services, and LLM-based features. Focus on designing large-scale cloud architectures, developing data pipelines and services, and owning production delivery for enterprise customers.
Location: Tel Aviv, Israel; hybrid work with in-office and/or in-person expectations
Company
develops intelligent data infrastructure, unified storage, integrated data services, and cloud solutions for enterprise customers.
What you will do
- Design and develop agentic, customer-facing products for large enterprise customers.
- Design and own the DataOps and analytics platform, including pipelines, services, and data models.
- Lead work through the full development lifecycle, from research and design to coding, testing, deployment, and production ownership.
- Build and operate cloud services using TypeScript, Python, SQL, Kubernetes, AWS, Snowflake, ELK, vector databases, Airflow, and Superset.
- Develop and ship LLM-based features that real users depend on.
- Collaborate with product, engineering, and business stakeholders.
Requirements
- 5+ years of hands-on coding and software design experience.
- Significant professional experience with TypeScript and/or Python.
- BSc or MSc in Computer Science, Computer Engineering, or an equivalent qualification.
- Strong knowledge of large-scale cloud service design and architecture, with experience taking services to production on AWS, Azure, or GCP.
- Experience building and shipping LLM-based features.
- Fluent English and strong oral and written communication skills.
Nice to have
- Experience with SQL and relational, analytical, or NoSQL databases.
- Experience with Docker, Kubernetes, Linux, React, or performance and scale testing.
- Data engineering at scale, including Airflow, Snowflake modeling, streaming, or processing very large data volumes.
Culture & Benefits
- Hybrid working environment designed to support collaboration and connection.
- Flexible work practices supporting work-life balance.
- Culture that rewards initiative, impact, ownership, and problem-solving.
- Inclusive and accessible workplace with reasonable accommodations available.
- AI-assisted tools may be used in selected hiring stages, with an alternative process available on request.
Hiring process
- Applications are reviewed through the company website.
- Selected hiring stages may include AI-assisted application evaluation and candidate screening with human oversight.
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